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基于SVM的核电装备制造业供应风险预测模型研究

Research on the Supply Risk Prediction Model of Nuclear Power Equipment Manufacturing Industry Based on SVM
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摘要 基于对核电装备制造业供应风险的因素识别,确立风险预测指标体系;对国内某家重点核电装备制造企业及其60家供应商进行问卷调研及深度访谈,运用支持向量机及libsvm技术建立供应风险的预测模型;最后的案例研究表明了该预测体系的可行性与可靠性。 Based on the factor identification of nuclear equipment manufacturing industry,prediction index for supply risk is established.To make investigation on a famous nuclear power equipment manufacturing enterprise and the 60 suppliers,the method of support vector machine and libsvm software are used to establish supply risk prediction model.Final case study demonstrates the feasibility and reliability of model.
机构地区 哈尔滨工业大学
出处 《电子科技大学学报(社科版)》 2010年第5期23-28,共6页 Journal of University of Electronic Science and Technology of China(Social Sciences Edition)
基金 国家自然科学基金项目(70972096)
关键词 支持向量机 核电装备 供应风险 预测模型 support vector machine nuclear power equipment supply risk prediction model
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